FINDING #1076 · UNIT ID 1329272295
Leonxlnx/unlazy
Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
43% OF STARS IN ARCHIVE
Growth Telemetry
VELOCITY /D
298.00
ACCEL
+106.00
RETENTION
0.0%
PEAK 2026-08-23 · FORK-RETENTION 0.0% · 894 STARS / WINDOW
Author Audience
AUDIENCE
10,303
FOLLOWERS
1,773
OWNER ★
85,300
Engagement Signals
FORKS
114
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 894 / 894 (DIVERSITY 1.00)
Why This Is A Finding
Leonxlnx/unlazy собрал 894 звёзд за окно, тогда как у автора всего 1,773 подписчиков — эффективная аудитория ≈ 10,303. Это даёт surprise-индекс 0.0288 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.
Related Findings
RANKS ABOVE 87% OF 8561 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 8561 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 87%
VELOCITY298.005.67+292.33ABOVE 99%
RETENTION0.0%44.4%-44.4 PPABOVE 0%
FORKS114355-241ABOVE 30%
SURPRISE0.030.00+0.02ABOVE 81%